The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 15, 2022

Filed:

May. 06, 2020
Applicant:

Cerebri Ai Inc., Austin, TX (US);

Inventors:

Alain Charles Briancon, Germantown, MD (US);

Eyal Ben Zion, Toronto, CA;

Sumant Sudhir Kawale, Austin, TX (US);

Sara Amini, Fairfax, VA (US);

Assignee:

Cerebri AI Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/901 (2019.01); G06N 5/00 (2006.01); G06N 20/20 (2019.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9024 (2019.01); G06N 5/003 (2013.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01);
Abstract

Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given geographic locale in the future; and storing the training the trained predictive machine learning model in memory.


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